Huawei R&D Sites in Belgium and the Netherlands Jobs

Back

3D IC Integrated Expert

Huawei Leuven Research Center

Leuven, Belgium

Employee

Huawei is a leading telecom solutions provider. Through continuous customer-centric innovation, Huawei has established end-to-end advantages in Telecom Network Infrastructure, Application & Software, Professional Services and Devices. With comprehensive strengths in wireline, wireless and IP technologies, Huawei has gained a leading position in the All-IP convergence age. Its products and solutions have been deployed in over 100 countries and have served 45 of the world's top 50 telecom operators, as well as one third of the world's population.

Assignment Description We are offering a long term 3D IC Integrated senior expert position.

The responsibility includes:

Participate in key chip projects in AI/CPU, mobile phone, network and other fields, and be responsible for the following aspects:

Output a competitive 3DIC engineering architecture according to the application scenarios and needs of the product.
Decompose the engineering structure into implementable engineering plans, identify and perform 3DIC risk management, and finally transform the technology Idea into commercial success.
Combined with the industry's best 3DIC engineering practice and industry analysis, carry out innovative research and industry-leading exchange of cutting-edge technology. Work with Vendor jointly to customize 3DIC technology suitable for HiSilicon, thus supporting HiSilicon to continuously be the lead in the 3DIC field.

Required Education and Experience:

More than 3 years of work experience in related companies in the industry, technical team leader or senior expert.
Having FAB work background, familiar with Wafer process, and has many successful 3DIC experience.
The background and experience of Wafer Process Integration are required. And it’s best to have the experience covering any of the two items: 1) BEOL Process Integration; 2) Wafer Level Package Process Integration; 3) 2.5D Interposer/3DIC process integration including TSV Process, Chip to Wafer Process, wafer to wafer process, etc.
Good teamwork ability, good communication skills. Excellent analytical skills.

Location: Belgium Leuven, 100% on site

Back

Apply

Back

3GPP Standardization Specialist

Huawei Leuven Research Center

Leuven, Belgium

Employee

Standardization Expert (3GPP)

The role requires familiarity with wireless communication technologies and standard developed by 3GPP, and experience in wireless communication research and attending 3GPP standardization meeting as a delegate.

We are looking for a 3GPP Standardization Expert/Delegate, who will be responsible to be a delegate to attend one of the 3GPP WG meetings, including RAN, RAN1, RAN2, RAN4, RAN5, SA1 and SA2. His/her primary focus will be the improvement of the Huawei Terminal’s leadership in the 3GPP by involving in the technical discussions and the communicating with other major companies.

The successful candidate will work alongside researchers, domestic standard delegates, engineers and developers, who contribute on different aspects of the project. Therefore, commitment to collaborative problem-solving, advanced design methods and the creation of quality products are essential attributes.

The company is putting together a new, dynamic, geographically-distributed team. The successful candidate will be given a choice of working either in Leuven (Belgium) or Reading (UK).

Responsibilities:

Attending one of the 3GPP meetings including RAN, RAN1, RAN2, RAN4, RAN5, SA1 and SA2 as a regular delegate. Communicating with global telecom companies including operators, infrastructure/terminal/chipset vendors for the industry information and views sharing.
Strategy development and planning for the standardization, and influencing the standardization strategy and timeline in 3GPP.
Pushing the requirements from the produce line and the techniques output by the research team. Recognizing new opportunities, risks and potential topics to research team and product team.
Understanding of the overall business picture in order to provide strategic advice to R&D and standardization teams. Working with multiple departments, coaching and mentoring other team members to a strong standard to consistently achieve best practices.
Reporting directly to the Director (European Standardization & Industry Development) based in Leuven (Belgium), though with European oversight, including the UK.

Travelling: International travel.

Qualifications and Skills:

Knowledge of wireless communication technologies and standard developed by 3GPP.
Experience and expertise as a 3GPP delegate.
Ability to understand business requirements and translate these into technical requirements.
Well communication skills, especially intercultural communication.

Languages: fluent English (spoken and written).

Desirable soft skills: adaptability (including culture-sensitive outlook), written and verbal communication, time management, stress management, conflict management.

Back

Apply

Back

**5* Talent Software-Defined Vehicle PhD Eng.**

Huawei Leuven Research Center

Leuven, Belgium

Employee

Project:

“Software-defined vehicle” is a term that describes a vehicle whose features and functions are primarily enabled through software, a result of the ongoing transformation of the automobile from a product that is mainly hardware-based to a software-centric electronic device on wheels.

Premium vehicles today can already have up to 150 million lines of software code, distributed among as many as 100 electronic control units (ECUs) and a growing array of sensors, cameras, radar and light detection and ranging (lidar) devices. Mass-market vehicles are not far behind. Three powerful trends — electrification, automation and connectivity — are reshaping customer expectations and driving manufacturers to increasingly turn to software to address them.

Tasks:

Define, scope, cost, plan and lead the quality of embedded software while accommodating design and schedule flexibility
Manage and refine a SW QA process capable of supporting multiple development locations
Anticipate technical, schedule and cost risks and implement mitigation actions to minimize impact
Follow Huawei’s SW development process where quality comes first and ensure that the designed solutions conform to architectural requirements such as scalability, maintainability, reliability, extensibility, usability, and security
Taking part in process definition and institutionalization
SW Integration on complex system crossing multiple OS delivered by multiple teams and suppliers
Quality control of integration including managing verification, identifying critical issues and leading conflict and problem resolving crossing teams
Develop and QA with C++, C, Java, HTML5, JavaScript, Android, Application frameworks
Develop on multi-disciplinary teams in the infotainment, consumer electronics, or related software industries
Debugging complex existing code base in C, C++ and Java experience

Qualifications:

Master in in Electrical Engineering, Software Engineering or Computer Science
PHD research in :
- An automotive or embedded product development field
- Or in an experience developing or leading development of complex, real time, embedded software in an object-oriented environment
- Or in an software engineering development organization
Knowledge of Scrum/Agile software development process from up front requirement analysis, systems design experience to backend integration
Outstanding written and oral communications skills
Ability to adapt to shifting priorities, demands and timelines through analytical and problem-solving capabilities
Experience and expertise in Android native and Java framework, especially around application framework and/or multimedia/graphics stack troubleshooting
Operating systems experience with one or more of the following: QNX, Linux, Android
Demonstrated understanding of a wide range of software technologies, including rendering, simulation, relational database, web, mobile, and user interface development
In depth experience with Scrum/Agile software development process and SCM tools like Git, Gerrit, OpenGrok
Experience with system performance profiling and optimization across Linux, Android and RTOS systems, including using tools like Bootchart, ftrace, and strace
Experience with scripting languages such as shell and Python
Experience with vehicle systems, CAN, Automotive Ethernet and A2B network, also with automotive and/or portable consumer electronic devices

Back

Apply

Back

**5* Top Talent**

Huawei Gent Research Center

Gent, Belgium

Employee

Come on!

Join Huawei 5 Star Top Talent Recruiting Plan ...

We are looking for the Top Talent, if you are

· The Winner of top competitions (High school mathematics/ Physics competition, winner of ICPC, IMO, IMC etc.）

· Published papers in top magazines

· Have been granted patents application

· Top students with highest grade, received scholarship

· Other (e.g. Successful project experience)

Required skills/majors

· AI / Math/ Computer Science, etc.

· Software Engineering / database, etc.

· Physical/ Materials, etc.

Education

· M.Sc. or Ph.D.

· Graduate from 2017/2018/2019/2020

Worldwide challenge Topics are waiting for you

1、Key technologies of the next-generation AI framework

2、Study on the Robustness of Deep Intensification Learning

3、Study on Hierarchical Strengthening Learning for Automatic Driving Application

4、Study on the Method of Minimal Target Segmentation in Medical Imaging

5、Formal Verification Platform Based on LLVM Intermediate Code

6、All-interactive intelligent project management assistant

7、Modeling and Navigation of Autonomous Robot in Unfamiliar Environment

8、Obstacle avoidance control for indoor flying robot

9、displayed in a hover box

10、Holographic video

11、Key points of dense 3D

12、Facial kinship recognition

13、Panoramic segmentation (Panoptic Segmentation)

14、Video Semantic analysis and identification

15、Research on High Precision and High Precision NVH Simulation Technology of Electric Drive System

16、Breakthrough in vulnerability discovery

17、Secure programming language

18、Proof of crash consistency of concurrent file systems

19、Real-time video quality detection

20、In-situ intelligent (In-Situ AI)

21、Active collaborative interaction technology

22、Research on Software Stack Based on New Hardware Interconnection

23、Research on Operating System and Virtualization Technology in Data Center Open Architecture

24、Research on Deterministic Technology of Automatic Driving

25、The ultimate performance of embedded software is doubled in two years.

26、Ark compiler

27、MindSpore depth probability calculation MindSpore

28、MindSpore Causal Cognitive Calculation MindSpore

29、Study the interpretability of AI technologies.

30、Data Storage and Optimization Oriented to Efficient AI

31、Multi-mode converged search

32、Knowledge-based semantic computing

33、low latency communications (LLC)

34、Future-oriented 3D GIS-Semantic, Mesh Simplification, and Indoor High-Precision Positioning

35、NLP

36、Knowledge Graph

37、Speach Recognition

……（consistently updated ）

More challenges, more chances to change the World!

We offer

· Provide super competitive compensation package for Top talents (3 to 5 times of market pay);

· Provide world class challenging projects，global job opportunities based on the major of Top Talent and Huawei global business layout（Location: Globally, such as Sweden、Finland、France、UK, Germany、China, Russia, Poland, Belgium, the Netherlands, etc.）

· Assign Fellow or top expert of Huawei as mentor to Top Talent

Back

Apply

Back

Advanced Package SI/PI Expert

Huawei Leuven Research Center

Leuven, Belgium

Employee

We are looking more specifically for a 2.5D/3D Package SI/PI Expert

Responsibility:

SI/PI analysis and design for 2.5D/3D advanced high speed/high power chip package system;
Design rule development and implementation of in-house packaging layout to meet product requirements;
Define and develop package SIPI solution for high-speed and high-power large-scale chips in a cross-function team;
Model passive structures for bare die and packaging.

Specialized Knowledge:

Background PhD in electromagnetic field, microwave, RF, analog circuit, electronic engineering, telecommunication, etc.;
Knowledge of signal integrity, power integrity, semiconductor manufacturing process, package/PCB manufacturing process and high-speed SerDes principle and architecture.

Professional Skill：

Be proficient in using package design and EM modeling tools: Cadence Allegro APD & SiP tools, Sigrity XtractIM, PowerSI, Ansys HFSS, ADS, XcitePI, etc.;
Experience in SI/PI modeling of package/PCB;
Experience in passive parameters modeling of die;
Hands-on experience in lab measurement with TDR, VNA, Oscilloscope, Spectrum Analyzer, etc.;
Good oral and written communication skills in both English and Chinese, ability to work in cross-functional teams;
Familiarity with Linux OS and script tool (Perl/Python/Ruby etc.) is preferred.

Tasks:

As an advanced package SI/PI expert, you will be responsible for the development and planning for Hisilicon 2.5D/3D package SI/PI technology. Conduct development system certification and capacity building of network chips. Meanwhile, handle the whole end-to-end delivery works and lead Hisilicon long-term development in the field of advanced chips packaging.

Back

Apply

Back

Advanced Semiconductor Memory Senior Engineer

Huawei Leuven Research Center

Leuven, Belgium

Employee

Job Status: Full-time

Location: Leuven, Belgium

Job Description

Your Career:

You will be responsible for leading technical investigation of materials systems for various emerging memory/selector systems such as Magneto-resistive Random Access Memories (MRAM), TFTs, Ferro-electric (FeFET, FeCAP) and non-ohmic devices (MS, MIS). You will coordinate experimental design and analysis of emerging memory material systems. Investigate fundamental physics and solid-state chemistry related to these devices to determine operation and failure mechanisms and improve device operation from fundamental principles. You will deliver a successful industry-grade emerging memory option with a cost structure and technical capabilities allowing the technology to replace existing memory technologies such as eDRAM and eFlash.

Your Profile:

Requires Ph.D. and Master’s degree, in physics, electrical engineering, or similar studies.
Strong understanding of solid state physics and magnetism including transition metal oxides, chalcogenides and ionic material
Memory device expertise with solid experience in device physics and device testing. Ideally you are proficient in analytical and electrical characterization methods including device reliability and good knowledge of CMOS integration and materials.
Strong understanding of device operation in memory system including NAND, DRAM and cache level memories. Knowledge of system architecture emulation (e.g. GEM5) is a plus
Experience in SPICE modelling is a strong plus.
Good technical comprehension and strong problem solving ability.
Good communication skills and ability to collaborate efficiently in teams.
English communication is required.

Back

Apply

Back

Algorithm Engineer - Map Search Ranking

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

We are looking for an Algorithm Engineer - Map Search Ranking to join our Map team in Amsterdam.

Fail fast is a motto that Huawei staff around the world has lived by for decades. In Amsterdam we are working on one of the most ambitious projects in the history of Huawei. We are building an ecosystem of map products on par with well-known competitors, and we are building with unprecedented speed. The Amsterdam team contributes with innovations. We invent and create prototypes of features that will shipped in the next release of our map app, map sdk, and map partner platforms. We follow the state of the art and we strive to surpass it.

Joining our team is the start of an intense journey. To say that our environment is dynamic, is an understatement. Our challenge requires all members to work together and to be pro-active. We are encouraging initiative and leadership. If you want to lead the way we offer you plenty of room. We highly value team work, which shows in the way we organize projects and research. We have regular code reviews, we adhere to style guides and we make use of unit tests, integration tests and CI/CD. Every week we host reading groups, lectures and discussions in the areas of mapping, computer vision, and NLP. Further it is possible to visit scientific conferences. We are an international team, hoping to onboard the 15th nationality by the end of the year.

In this role you will:

Builds the LTR model for European language-based map search, and performs automatic corpus marking and model optimization based on user logs.
Be responsible for text, semantic, click, and spatial correlation feature engineering.
Continuously follow up the development of relevant technologies in academia and industry, and explore the application and implementation of industry-leading technologies in services.

Minimum qualifications

Bachelors or Master’s degree in Computer Science or related field
At least three years of search engine development experience;
Have an in-depth understanding of machine learning and data mining algorithms, and be familiar with the principles and applications of classic algorithm models.
Excellent problem-solving ability, learning ability, and teamwork awareness
Familiar with search technologies, machine learning, deep learning algorithm, and deep learning framework platforms such as TensorFlow and Python.
Be familiar with Java, C++, and Python development languages and have good coding skills and habits.

Back

Apply

Back

Applied Mathematics Research Scientist

Huawei Leuven Research Center

Leuven, Belgium

Employee

Our newly founded Network Technology Lab European Branch Division will play a leading role in researching new technologies for next generation networks. These include a.o. predictive network modeling, automated pattern detection/extraction and recognition/identification for multi-dimensional interaction modeling as well as fast converging solvers. Due to various operational or performance requirements, the corresponding tasks require in turn the solving of challenging mathematical approximation, estimation, and optimization problems to support online/sequential decision processes. In order to build a team of high-end experts engaged in research work in the field of networking, we are searching for an Applied Mathematics Research Scientist !

You want more?

Career in Huawei: candidate of Huawei Fellowship, opportunities of R&D on an international scale.
Working environment: globally teamwork across EU and Asia with English as business language.
Meaningful work: research results could support the requirement of Huawei’s products and solutions which are used and deployed in over 140+ countries and serving more than one third of the world’s population.
Team spirit: barrier-free communication between each researcher in Huawei, doors are open and collaborations are always welcome.

Position Responsibility:

Instigate and investigate emerging computational methods and technologies to build the best competitive solution by blending mathematical modeling, algorithmic and experimental/ numerical research.
Contribute to the tasks of the department by developing the experimental tools to validate and compare these methods by means of numerical experiments, valorize these methods through innovative use case.
New methods and technology promotion, including dialogue with R&D departments, public speech in world-class events, paper publication, academic collaboration, etc.

Position requirements:

PhD or eventually MSc degree in Applied mathematics, Mathematical engineering, Theoretical computer science, Computer science engineering.
- Note well: candidate must have obtained their University degree from an academic institution of one of the EU countries.
Strong research experience in either
- Continuous optimization and nonlinear programming together with very good knowledge of iterative and inexact methods for nonconvex optimization problems
- Functional analysis, nonlinear function approximation and related methods (incl. nonlinear adaptive, finite-element, wavelet methods)
- Statistical modeling, nonlinear regression analysis and distributional/generalized nonlinear methods
Good knowledge of programming language (C/C++, FORTRAN), functional programming language (LISP, Julia, etc.) or statistical programming languages (such as R) is considered as a plus.
Ability to initiate and develop new ideas and initiatives in collaboration with both external/academic partners.
Excellent Communication skills - Presentation, oral and writing skills.

Seniority Level

Entry level

Duration

2 years

Starting date:

1st 2020 (earliest) – Feb.1st 2021 (latest)

Back

Apply

Back

Cooperation Management Expert

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Freelance

We are looking for an expert (m/f) who has significant experience in the field of cooperation management in the industry.

If you are enthusiastic to shape the future of Huawei Amsterdam Research Center together with us, find it attractive to work on a very high level of technical innovation and being part of a multicultural team and growing environment, please contact us.

Your Responsibilities will be:

Develop academic cooperation strategies and projects based on business development requirements, and take overall responsibility for project requirement analysis, execution, and subsequent evaluation and feedback.
Be responsible for developing, managing, and maintaining the relationship between experts and scholars from research institutes of universities, understanding the cutting-edge research progress and internal technical requirements, and actively promoting the cooperation with academia in technical research.
Manage academic cooperation projects, promote the implementation and application of achievements within and outside the company, actively expand the depth and breadth of cooperation, and enhance the company's technical influence.
Follow up the latest science and technology policies, strengthen communication with government, research institutes.
Regularly track technical projects in the Netherlands/ EU, explore relevant project opportunities, and participate in project application, proposal submission, consortium establishment, and coordinated project operation.
Analyse latest research developments and trends in Europe, as well as their fit to the needs and strategy of Huawei
Follow European research activities in some of the following domains: Search Engine, Machine learning, NLP, Neural networks, Computer vision, Map matching, Map routing, Cloud and Big Data

Requirements & Qualifications (domain specific, partial qualifications taken into account)

M.Sc. or higher degree in computer science, electrical engineering, informatics or in another domain-related technical discipline. PhD degree is preferred.
Experience in publicly funded projects e.g. H2020.
The proven ability to build relationships with universities and research institutions.
Deep understanding of the academic, commercial, and partnership research landscape.
Minimum of 5 years working experience specifically in cooperation strategy development.
Technology planning and strategy development in a high-tech environment.
Excellent internal and external communication and coordination skills.
Excellent interpersonal skills, team-work spirit and independent working capability.
Hands-on and can-do attitude.
Native Dutch speaker, fluent in English.

Back

Apply

Back

Deep learning Research Engineer

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

We are looking for a Deep learning Research Engineer, Maps Search / Routing / Traffic / ETA / Datamining

Responsibilities

Pre-research and make breakthroughs in core map algorithms. The effect and performance of the algorithms exceed 30% of the best practices in the industry.
The research direction can be road condition, ETA, path calculation, or map search.

Minimum qualifications

Have strong capabilities of common machine learning algorithms, including learning to rank and deep learning.
Be familiar with the Linux platform, C/C++ programming language, Python, Shell, or other scripting languages.
Be able to combine AI technologies with map requirements.

Preferred Qualifications

Have practical experience in road conditions, ETA, and navigation.
Published articles on related topics at top academic conferences
Published articles on related topics at top academic conferences

Back

Apply

Back

Filter Package Expert

Huawei Leuven Research Center

Leuven, Belgium

Employee

Responsibility:

Be responsible for Filter packaging material & structure selection and new product introduction;
Guarantee manufacturability, reliability and applicability of Filter.

Specialized Knowledge:

Background PhD in electromagnetic field, microwave, RF, analog circuit, electronic engineering, telecommunication, etc.;
Be proficient in filter packaging technology and materials;
Familiarity with SIP packaging process;
Familiarity with semiconductor materials；
Knowledge of filter electrical properties;
Background in RF/analog circuit, electronic engineering, telecommunications, materials and mechanics and related fields;
Knowledge of semiconductor manufacturing and PCB manufacturing process.

Professional Skill：

10+ years’ experience in filter packaging design and manufacturing;
Ability to provide design guidance for Filter structure & material development and mass production application;
Familiarity with package electrical, thermal and mechanical analysis methods;
Familiarity with reliability failure analysis methods." "

Tasks:

As a filter package expert, you will cooperate with the chip design team to formulate and confirm the packaging scheme, and then evaluate wafer-level packaging process, materials and reliability performance of filter devices. Lead colleagues and foundries to establish filter packaging design and engineering specifications; meanwhile, support Hisilicon filter packaging team to achieve technical accumulation as well as make long-term technology development plan.

Back

Apply

Back

HMI Senior Researcher

Huawei Leuven Research Center

Leuven, Belgium

Employee

Location: UK or Germany

Position responsibilities:

Lead Human-Machine Interface (HMI) research and prototype team.
Provide a system or feature design for HMI prototype in an independence Operating System.
Improve current system by catching/integrating new technologies of UI on HMI tools.
Coordinate local team with HQ to define project goals and milestones.
Operate local team and build experiment environment to support further research.
Cooperate with local academic organizations and companies to improve the competitiveness of our product.

Position Requirements:

At least 10-year-relevant-experience.
Have experience in development for prototype for smart cockpit.
Familiar with IVI systems and operating systems.
Familiar with Design methodology.
Be able to research new technologies in HMI, AR/VR, Touch Screen, Gesture...
Knowledge about GUI technologies (widgets, animations and graphics).
Good at leadership skills and build up competency for team.

Back

Apply

Back

Huawei PhD Student Contest 2021

Huawei Gent Research Center

Gent, Belgium

Student

Contest rules

CANDIDATES

The contest is open for PhD students and Post docs studying at universities in Europe.

SCHEDULE

01/03/2021: Start of submission period

01/06/2021: End of submission period

01/07/2021: Invitation sent out by Huawei for online award ceremony and announcement of the selected shortlist of candidates

02/08/2021: Deadline for the submission of the PowerPoint presentation (only for the selected shortlist)

01/09/2021: Online presentation by the finalists of the submitted papers, followed by online award ceremony

SUBMISSIONS

1. General

Only submissions on one of the following topics will be accepted:

-Integration of electronics with silicon photonics

-Silicon photonics based FMCW Lidar

-Other silicon photonics based (smart) sensor applications

-Silicon photonics based RF photonics applications

-Silicon photonics based medical applications

-Use of silicon photonics in AI computing

The submissions should consist of recently published papers or research reports up to 4-6 pages.

All submissions should be complete, written in English and submitted via the application button below, respecting the given schedule.

The following personal details of the candidate should be included:

-Name and surname;

-Phone number and/or email address of the candidate;

-Education level of the candidate;

The submitted content should be original and should not violate, plagiarize, or infringe the rights of third parties including copyright, trade mark, trade secrets, and privacy, publicity, personal or proprietary rights.

Huawei reserves the right to cancel the event due to unforeseen reasons in which case we will do everything we reasonably can to let you know.

2. PowerPoint presentation

The selected shortlist consisting of the 6 finalists will be required to give a PowerPoint presentation on their submitted work at the online award ceremony in view of the selection of the final top 3 laureates, as set out below. This PowerPoint presentation should be limited to a duration of 15 minutes.

SELECTION

a. General

The evaluation will be done by Huawei experts across Europe.

b. Published papers / Research reports

To select the shortlist of candidates, consisting of 6 finalist, the Huawei experts will evaluate the submissions on the basis of the following criteria:

-Quality and thoroughness of the research;

-Innovation and creativity of the solutions and ideas presented;

-Feasibility and commercial potential of the solutions, ideas; and

-Overall quality, clarity and conciseness of the submissions.

c. Presentation

The selected shortlist, consisting of the 6 finalists, will be required to give a PowerPoint presentation about their submitted work at the online award ceremony. Huawei experts will evaluate these oral presentations and select the top 3 laureates from the shortlist on the basis of the following criteria:

-Structure and content;

-Clarity of the presentation;

-Originality and creativity;

-Overall quality of the presentation.

AWARD

1st place = 5000€

2nd place = 3000€

3rd place = 1000€

Intellectual property rights and warranties

When making a submission, each candidate warrants to be the original author of that submission and to hold all intellectual property rights pertaining to that submission. For the avoidance of doubt it is explicitly understood that the mere participation in this contest will not result in any transfer of intellectual property rights.

When making a submission, each candidate furthermore warrants not to violate, plagiarize, or infringe the rights of third parties including copyright, trade mark, trade secrets, and privacy, publicity, personal or proprietary rights.

Finally and for the avoidance of doubt it is explicitly understood that candidates will not be required to disclose any confidential information pertaining to their research and/or submissions. If a candidate would decide in its own discretion to disclose certain confidential information when making a submission, such information will only be used for the purpose of the contest, in particular for the evaluation of the submission made.

DATA PRIVACY

Huawei Technologies Research & Development Belgium NV and its affiliates around the world clearly understand how important privacy is for you and respect your privacy. Please carefully read the Privacy Statement before submitting your personal data to Huawei : http://www.cvwarehouse.com/downloads/CompanyDocuments/11091_HuaweiBenelux/200625_Privacy_statement_Contests_and_Events_final.pdf

EXCLUSION

Huawei will have the right to immediately exclude any candidate from the contest at any given time and/or claim the return or refund of awards that would already have been granted, if Huawei shows to have valid reasons to believe the concerned candidate engaged in unlawful behavior in connection with the contest, including but not limited to the violation, plagiarism, or infringement of the rights of third parties including copyright, trade mark, trade secrets, and privacy, publicity, personal or proprietary rights.

ORGANIZER OF THE CONTEST

The contest is organized by the following Huawei company (“Huawei”):

Huawei Technologies Research & Development Belgium NV

Technologiepark 122

9052 Zwijnaarde (Ghent)

CBE n°: 0827.031.106

LER Ghent

Back

Apply

Back

Internship in Accelerated Training with Fast Converging Solvers

Huawei Leuven Research Center

Leuven, Belgium

Student

In neural-based learning, a generalized model must be extracted and selected from a finite set of input-output samples drawn from an unknown probability distribution that should be descriptive enough for unseen/new input data. Due to the nonconvexity of the set of functions that can be approximated by neural networks and the nonconvex property of the objective function to be minimized, training performs by solving nonconvex optimization problems over nonconvex sets. These neural networks are primarily those involved in nonlinear function approximation underlying automated pattern detection/ extraction and recognition/identification such as multi-dimensional interaction modeling and their synthetic representation. In the context of communication networks, for instance, trained neural models aim at augmenting -or even replacing- current local routing and forwarding processes. Due to various operational or performance requirements, the corresponding tasks require in turn the solving of constrained nonconvex optimization problems.

On the other hand, despite recent advances in automatic differentiation (AD) algorithms and software, incorporating automatic differentiation tools in optimization solvers remains largely unexploited. Commonly, the solving of bound-constrained nonlinear optimization problems with, e.g., the Newton method or the Augmented Lagrangian Method (ALM), require the evaluation of the objective function, its gradient and the (sparsity pattern of the) Hessian matrix. Additionally, constrained optimization problems also involve providing the sparsity pattern and the Jacobian matrix of the constraints. The time and resource required to obtain this information and verify their correctness can be relatively large even for simple problems. Nowadays, optimization problem-solving environments provide modeling language and state-of-the-art optimization solvers together with packages that are capable to compute first-order information, e.g., derivatives, gradients. However, AD remains largely unexploited for generating these quantities; requiring consequently to run the entire framework and its packages altogether to solve nonlinear optimization problems. Moreover, for constrained neural networks training, it would be beneficial to solve the corresponding optimization problems by means of unified AD tools. In this context, the main goal is to blend AD tools that automatically generate the required first- and second-order quantities together with nonlinear optimization methods such as ALM for constrained problems.

Objective: instigate and investigate automatic differentiation tools for nonconvex optimization solvers that can rapidly converge with few function and derivative evaluations as well as provide and improve second-order information with the same efficiency and reliability as available for first-order information.

Task(s): design/formulate, develop and numerically evaluate enhancements of existing computational methods/algorithms such as ALM for solving constrained nonconvex optimization problems. To address the computational performance objectives, the candidate will also actively participate to the design (extension) and evaluation of (existing) automatic differentiation tools for solving such optimization problems. These tasks will be realized under the supervision of a senior (postdoc-level) researcher.

Duration: from 6 months to 1 year (max.)

Candidate profile:

If MSc thesis: the candidate must be following the last year of the curriculum in, e.g., Applied mathematics, Math. engineering, Theoretical computer science, Computer science engineering. Detailed coordinates of MSc promotor and his/her academic affiliation must be provided in the CV application form.
If internship: the candidate must have completed his/her MSc (in one of these disciplines) and ideally realized a thesis in one of the following domain(s): nonlinear programming, computational methods and algorithms for nonconvex optimization (incl. second order iterative methods, subspace methods, etc.), automatic differentiation. Copy of the MSc diploma/ certificate shall be included in annex of the CV. The internship can also be considered as part of post-MSc graduation or PhD graduation program.
Good knowledge of functional programming language (LISP, Julia, etc.) is considered as a plus.

Note well: candidate must have obtained their University degree from an academic institution of one of the EU country.

Starting date: Oct.1st, 2020 (earliest) – Dec.1st, 2020 (latest).

Back

Apply

Back

Internship in Nonconvex optimization

Huawei Leuven Research Center

Leuven, Belgium

Student

In the context of context of communication networks, neural networks are primarily involved in automated pattern detection/extraction and recognition/identification tasks in online signal processing (packet flows for instance) but also sub-graph analysis (network topology and path properties). Neural models aim at augmenting -or even replacing- current local routing and forwarding models and processes. For this purpose, a generalized model must be extracted and selected from a finite set of input-output samples drawn from an unknown probability distribution that should be descriptive enough for unseen/new input data. However, due to the nonconvexity of the set of functions that can be approximated by neural networks and the nonconvex property of the objective function to be minimized, their training performs by solving nonconvex optimization problems over nonconvex sets. Moreover, due to various operational or performance requirements, training further involves the solving of constrained nonconvex optimization problems.

On the other hand, automatic differentiation (AD) onto which neural training algorithms relies, remains largely unexploited in optimization solvers. Commonly, the solving of bound-constrained nonlinear optimization problems with, e.g., the Newton method or the Augmented Lagrangian Method (ALM), require the evaluation of the objective function, its gradient and the (sparsity pattern of the) Hessian matrix. Additionally, constrained optimization problems also involve providing the sparsity pattern and the Jacobian matrix of the constraints. The time and resource required to obtain this information and verify their correctness can be relatively large even for simple problems. Nowadays, optimization problem-solving environments provide modeling language and state-of-the-art optimization solvers together with packages that are capable to compute first-order information, e.g., derivatives, gradients. However, AD remains largely unexploited for generating these quantities, requiring in turn to run the entire framework and its packages altogether to solve nonlinear optimization problems. For constrained neural networks training, it would also be beneficial to solve the corresponding nonconvex constrained optimization problem (including inequality constraints) by means of unified AD tools. Indeed, combining AD tools that automatically generate the required first- and second-order quantities together with nonlinear optimization methods such as ALM yields a promising method.

Objective: investigate nonconvex optimization solving methods that can rapidly converge with few function and derivative evaluations as well as provide and improve second-order information with the same efficiency and reliability as available for first-order information.

Task(s):

Formulate, develop and numerically evaluate enhancements/extensions of computational methods/algorithms including ALM for solving constrained nonconvex optimization problems.
To address the computational performance objectives, the candidate will also actively participate to the design (extension) and evaluation of (existing) automatic differentiation tools for solving such optimization problems.
Integration of these tools into a unified AD framework will be realized in cooperation with computational/numerical method experts. These tasks will be realized under the supervision of a senior (postdoc-level) researcher.

Duration:

Short duration (from 3 to 6 months): suited for MSc curriculum course
Long duration (up to 12 months): suited for MSc thesis internship
Note well: unpaid student internship (no working contract), only direct costs are reimbursed up to 660 Euros per month

Candidate profile:

MSc (or last year of MSc curriculum) in applied mathematics, mathematical engineering, theoretical computer science, or computer science engineering.
Strong nonlinear modeling and mathematical programming skills.
Very good knowledge of techniques such as first-/second-order iterative methods, inexact methods and Krylov subspace methods ((B)CG, Lanczos, GMRES, MINRES, Arnoldi, etc.) for nonconvex optimization problems.
Experience in programming with nonlinear optimization libraries, e.g., LANCELOT/ CUTE, MINOS, TRON, NLopt, etc.
Excellent written, verbal and interpersonal communication skills.
Knowledge of functional programming language (LISP, Julia, etc.) is considered as a plus.

Application requirements

Certified copy of the MSc diploma/certificate shall be included in annex of the CV.
The CV shall indicate the detailed coordinates of the current or eventually the last academic institution and department of the candidate.
The CV shall include a detailed list of publications/achievements in relation to the job description.
Note well: the candidate must follow or have obtained his/her MSc degree from an academic institution of one of the EU countries.

Starting date: Feb.1st, 2021 (earliest) – Mar.31st, 2021 (latest).

Back

Apply

Back

Internship in Nonlinear System Identification

Huawei Leuven Research Center

Leuven, Belgium

Employee

Nonlinear system identification aims at identifying the mathematical model of a nonlinear system from measurement data of the system inputs and outputs. This method is often used to identify a part of a complex networked system. The identified model can then be involved in various network predictive tasks and procedures.

Unstructured or black-box models often rely on neural network models to exploit their nonlinear function approximation properties. On the other hand, structured or grey-box models are based on the interconnection of linear and nonlinear subsystems. Among the most common model structures, those of main consideration for this internship are the multiple-input multiple-output (MIMO) i) parallel-Wiener, and ii) parallel Wiener-Hammerstein (with and without feedback) models due to their universal approximation capability. Other the other hand, when a measurement of the input to the nonlinear map is available nonlinear identification with Hammerstein model structure is less difficult than identification with the Wiener structure. This observation has led to consider particular systems that are nonlinear in measurement data and linear in unmeasured states.

Objective: the goal is first to extend/combine existing structured modeling methods to Hammerstein-Wiener and parallel Hammerstein systems. Then by decomposing the dynamics such as to isolate the nonlinear part in between two linear subsystems further extend these methods for parallel Wiener-Hammerstein systems.

Task: Design and compare different subspace identification algorithms as well as basis function optimization algorithms. Evaluate and compare these algorithms both formally and numerically using various (synthetic or real) benchmark cases. Note that comparison against black box modeling methods is also be considered as part of the taskplan. These tasks will be realized under supervision of senior (postdoc-level) researcher.

Duration: from 6 months to 1 year (max.)

Candidate profile:

if MSc thesis: the candidate must be following the last year of the curriculum in, e.g., Applied/ Numerical mathematics, Math/Mechanical engineering, Theoretical computer science, Computer science engineering. Detailed coordinates of MSc promotor and his/her academic affiliation must be provided in the CV application form.
if internship: the candidate must have completed his MSc (in one of these disciplines). Copy of the MSc diploma/certificate shall be included in annex of the CV. The internship can also be considered as part of post-MSc graduation or PhD graduation program.
Good knowledge of networked systems is considered as a plus.

Note well: candidate must have obtained their University degree from an academic institution of one of the EU country.

Starting date: Jun.1st, 2021.

Back

Apply

Back

Lead Data Scientist - Search Engine

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

Huawei Search Team will leverage the best talent and infrastructure to build an industry-leading Cloud Search product that will allow Huawei mobile phone users to search over all their queries with best-in-industry with advanced user experiences, such as intention recognition, that would tremendously increase their experience. Our mission will be accomplished through utilizing advanced technologies to ensure knowledge data discovery and extraction, create intelligent experience, and design a robust data storing, indexing and querying architecture.

Responsibilities

You will work with a team of applied scientists and engineers who are responsible for all stages of the search engine including offline page storing/analysis/indexing, online querying/reranking/sorting. Your responsibilities will include technically lead Huawei Petal Search Amsterdam R&D branch, exploring state-of-art solutions covering NLP, ASR, Information Retrieval, Knowledge graph, video semantics, etc. Finishing planned projects like Machine translation, Segmenter, Question Answering, etc, according to global R&D roadmaps. Meanwhile, leading the research activities with local universities , helping constructing long-term competitiveness for Huawei Petal Search globally.

Qualifications

MS/BS in CS/EE, mathematical or machine learning related subjects.
Strong experiences in researching, designing, implementing and delivering commercial AI projects with models/software (Minimum: 8 years)
Proven track records of managing multiple teams.
Able to lead/cultivate team technically.
Solid knowledge and commercial projects background of Pytorch, Tensorflow, Keras, etc.
Experienced in real world large scale searching engine products, especially in multilingual multimodal information retrieval, time/cost efficiency of the algorithms, open-domain knowledge graph, etc.
Extensive working knowledge in Python、C、C++ 、Java、Go
Research and/or industrial background in machine learning, deep learning, natural language processing, knowledge graph, etc.
Willing and Ambitious to challenging world-level touch problems in AI and Search engine.
Good communication skills and English speaking, experienced working in a cross-culture and global distributed team

Qualifications considered a pre

PhD degree.
Working experience in MS Bing, Google Search, Booking or related global search engines.(Minimum: 5 years)
Leading professor in TOP academic research organizations in Information Retrieval, NLP, or Knowledge Graph.
Published influential papers in ACL、EMNLP、NAACL、COLING、ICLR or related TOP conferences.

Back

Apply

Back

Logic Devices R&D Engineer

Huawei Leuven Research Center

Leuven, Belgium

Employee

We are looking for highly motivated, team players to support engineering activities at our Huawei Belgium Research Center, Leuven.

To reach our goal we are looking R&D Engineer for Logic Devices (multiple positions available)

Report to the Advanced Technology Team based in Leuven, engaging in defining roadmap through extensive device data analysis, metrology and TCAD (Technology Computer Aided Design) work.

Our team’s mission includes but is not limited to:

Path-finding work to define future logic technology nodes and scaling
New technology evaluation
Next generation device/interconnection targeting and enablement
Co-work & drive our research partners globally (internal and external)
Analyzing semiconductor technology trends, define technology roadmap

Assignment Description: We are offering a long term R&D Engineer position enabling you to join the leading edge of semiconductor technology R&D.

The successful candidate will be working in close collaboration with the process technology and design teams spanning from the advanced semiconductor manufacturing, to the IC architecture and physical design. He/she will be expected to contribute to the definition of key technology parameters enabling robust and competitive design of our flagship mobile and network chips for better performance, lower power, and lower area at lower cost, giving the best and realizable PPAC outcome. This role requires the adoption of DTCO methodologies all the way from the identification of manufacturing capabilities to the build-up of process assumptions, selection of design rules together with their trade-offs. The role further requires critical thinking with emphasis on process module risk evaluation and providing innovating, breakthrough solutions; day-to-day communication with cross-disciplinary teams (internal & external), and our foundry / EDA / research partners on-site and across the globe. Strong communication skills, ability to work independently and to organize are essential.

The role offers competitive salary package matching global standards plus provides working environment in world leading research center with a team of multi-national engineers and researchers, allowing possibilities for individual growth in all sectors.

Required Education and Experience:

M.Sc. or Ph.D./Post-doc in Electrical Engineering or related discipline (fresh ~ 5 years’ experience)
Strong semiconductor device understanding
Familiar with the advanced semiconductor process and devices (e.g. finFET, GAA)
Understanding of unit process modules and technology
Excellent analytical skills with a detailed mindset
Good communication skills and strong team-player
Able to work independently
Willing to relocate to Leuven (Belgium) region

Location: Leuven (BE), 100 % on site

Back

Apply

Back

Machine Learning (Data) Scientist - Language Understanding

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

We are looking for a Machine Learning Applied Scientist to join our Search Engine team in Amsterdam

The Search Team in Huawei’s Amsterdam R&D Center is building an industry-leading Cloud Search product that powers the search experience on Huawei mobile phones. The team is responsible for advanced components of the search engine, including question answering, offline document analysis and machine translation. We are looking for a Machine Learning Applied Scientist to join our team and together build the future of search.

Our mission is to build a state-of-the-art search experience using the latest techniques in information retrieval, machine learning and natural language processing. We maintain active collaboration with local universities to push the envelope on search and deliver the best customer experience.

Responsibilities

You will work within a fast-paced team of applied scientists and engineers. You will contribute to all stages of the machine learning lifecycle and help maintain a positive team culture. Your responsibilities will include:

Create and implement new algorithms using the latest, bleeding-edge, advancements in ML research to solve applied problems in language understanding, such as question answering, sentiment analysis and information extraction.
Research new directions to solve problems in language understanding, such as novel architectures, quality estimation, model robustness and techniques for low-resource languages and domains
Work together with other applied scientists and machine learning engineers in an agile team

Required Qualifications:

Degree in Computer Science, Physics, Mathematics or related field
Broad knowledge of fundamentals and state-of-the-art in machine learning and statistics focusing on Natural Language Processing and/or Information Extraction
Excellent coding abilities in Python (other languages like Java and Go is a pro)
Experience with at least one deep learning framework like PyTorch or Tensorflow.
Working experience with SQL, ElasticSearch, and big data technologies
Excellent communication and collaboration skills

Preferred Qualifications:

Research contributions in one of the top tier NLP conferences (i.e. EMNLP, ACL, NAACL, etc.)
Experience processing non-European languages

Back

Apply

Back

Machine Learning Engineer - Language Understanding

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

We are looking for a Machine Learning Engineer to join our Search Engine team in Amsterdam

The Search Team in Huawei’s Amsterdam R&D Center is building an industry-leading Cloud Search product that powers the search experience on Huawei mobile phones. The team is responsible for advanced components of the search engine, including question answering, offline document analysis and machine translation. We are looking for a Machine Learning Engineer to join our team and together build the future of search.

Our mission is to build a state-of-the-art search experience using the latest techniques in information retrieval, machine learning and natural language processing. We maintain active collaboration with local universities to push the envelope on search and deliver the best customer experience.

Responsibilities

You will work within a fast-paced team of applied scientists and engineers. You will contribute to optimizing algorithms, building pipelines and data structures to automate the machine learning lifecycle and help maintain a positive team culture. Your responsibilities will include:

Apply the latest, bleeding-edge advancements in ML research to create state-of-the-art technologies.
Design, develop, optimize and test Natural Language Processing pipelines for language understanding.
Work together win a team of applied scientists and machine learning engineers in an agile team

Requirements

Degree in Computer Science, Physics, Mathematics or related field
Strong background in machine learning theory and practice with at least 3 years of hands-on experience implementing and deploying large scale machine learning systems.
Experience in Natural Language Processing or Information Extraction
Strong understanding of system design, data structures and algorithms
Proficiency in multiple programming languages, preferably Python, Java and Golang
Experience with a deep learning framework like PyTorch or Tensorflow.
Experience with ElasticSearch, Spark, Hive, Hadoop or other big data technologies
Excellent communication and collaboration skills

Back

Apply

Back

Machine Translation Scientist

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Freelance

Huawei R&D Center Amsterdam is looking for a Machine Translation Scientist to join our growing machine translation team and work on large scale neural machine translation systems. We build and maintain cutting-edge machine translation systems for a variety of challenging language pairs that find application in Huawei’s Cloud Search environment. The team actively researches new directions in machine translation to improve our models and open new avenues for application. We are looking to expand our team to cover more language pairs and more domains. This is a great opportunity for an expert in machine translation who is looking to have real world impact at a large scale.

Responsibilities

You will work with a team of applied scientists and engineers who are responsible for all stages of the machine translation model development, including data set selection and filtering, model training and evaluation and domain adaptation. Your responsibilities will include:

Design, develop, test, maintain and debug software programs for the key stages of the machine translation model lifecycle
Create and implement new algorithms to solve applied problems in machine translation, such as cross-lingual transfer, domain-adaptation, model compression or data set filtering.
Lead the team to break through major algorithmic issues
Research new directions to solve problems in machine translation, such as multi-lingual translation, quality estimation, model robustness and techniques for low-resource languages and domains

Primary Location

Amsterdam

Required Qualifications:

PhD in natural language processing related field or equivalent research experience
Experience in building machine translation systems
Excellent coding abilities in Python and mastery of at least one deep learning framework
Strong familiarity with machine translation framework
Research contributions in the field of machine translations in one of the top tier NLP conferences (i.e. EMNLP, ACL, NAACL, etc.)

Preferred Qualifications:

Proven record of contributions to open source machine translations or sequence to sequence modelling toolkits (or codebases)
Experience processing non-European languages

Back

Apply

Back

MEMS Expert (Principal Engineer Level)

Huawei Gent Research Center

Gent, Belgium

Employee

Huawei Technologies Research & Development Belgium NV is a center of excellence for silicon photonics and for MEMS. Huawei is the global No.2 telecom solution provider and uses approximately one sixth of all photonics components produced in the world.

Huawei aims to significantly reduce the cost of these components by investing aggressively in silicon photonics and MEMS (Micro-Electro-Mechanical Systems) research and development and implementing solutions based on these technologies. The team at Huawei R&D Belgium (Caliopa) is at the heart of this. Already in production at our foundries, we are looking to strengthen our team with a MEMS Expert.

Main Responsibilities:

Electro-mechanical design of MEMS devices for concept through to production for applications in Optical Communications and Consumer Products
Work collaboratively with other parts of the extended MEMS team in Huawei and at external partners

Requirements & Qualifications:

A degree in an Engineering or Physical Sciences
- Masters and/or PhD qualification or equivalent additional experience is preferred
Minimum of 10 years post-degree MEMS design experience (PhD counts as 1.5 years maximum)
- At least 3 years of experience at principal level or equivalent is essential
- At least 5 years hands-on experience in MEMS design is an advantage
- Experience of MEMS design in optical (e.g. micromirror), acoustic and/or inertial (e.g. gyroscope) products is an advantage
- Industrial experience or experience of leading commercial contracts with industry is essential
Sound grasp of MEMS transduction and associated MEMS process, test and reliability principles
- Extensive experience of electrostatic actuation is essential
- Experience of piezoelectric and electromagnetic actuation is an advantage
- A sound knowledge of enhancing and verifying MEMS reliability is desirable
Proven track record in developing innovative MEMS designs
- A track record of designs transitioning to production is an advantage
- Strong awareness of Intellectual Property is desirable
Advanced skills in simulation using leading CAD design packages for MEMS
- Extensive experience of finite element MEMS device simulation
  - expertise in using COMSOL Multiphysics is an advantage
- Expertise in system level simulation with reduced order models and linking to other simulation packages is an advantage (e.g. using Python)
- Experience of working with a captive industrial or commercial MEMS foundry is essential

Strong analytical skills with an ability to work effectively both independently and with other parts of the extended team in Europe and China
- Extensive experience of developing analytical models is essential
- Ability to advise on the potential impact of process and packaging design choices on MEMS performance and reliability is important
- Experience of defining MEMS device test regimes and interpreting the results is desirable
Language
- Fluent in English (written and spoken).
  - Dutch or Chinese language knowledge is a plus
Attitude
- Strong team player
- Excellent written and oral communication skills
- Eye for detail but also able to take high-level perspective when appropriate
- Organized, structured worker
- Continuous improvement spirit

Huawei Technologies R&D Belgium NV is headquartered in Belgium and this role is based in the vibrant city of Ghent, however, it is likely that the role will involve some international travel (10-20%).

Back

Apply

Back

Numerical Optimization Research Scientist

Huawei Leuven Research Center

Leuven, Belgium

Student

In the context of context of communication networks, neural networks are primarily involved in automated pattern detection/extraction and recognition/identification tasks in online signal processing (packet flows for instance) but also sub-graph analysis (network topology and path properties). Neural models aim at augmenting -or even replacing- current local routing and forwarding models and processes. For this purpose, a generalized model must be extracted and selected from a finite set of input-output samples drawn from an unknown probability distribution that should be descriptive enough for unseen/new input data. However, due to the nonconvexity of the set of functions that can be approximated by neural networks and the nonconvex property of the objective function to be minimized, their training performs by solving nonconvex optimization problems over nonconvex sets. Moreover, due to various operational or performance requirements, training further involves the solving of constrained nonconvex optimization problems.

On the other hand, automatic differentiation (AD) onto which neural training algorithms relies, remains largely unexploited in optimization solvers. Commonly, the solving of bound-constrained nonlinear optimization problems with, e.g., the Newton method or the Augmented Lagrangian Method (ALM), require the evaluation of the objective function, its gradient and the (sparsity pattern of the) Hessian matrix. Additionally, constrained optimization problems also involve providing the sparsity pattern and the Jacobian matrix of the constraints. The time and resource required to obtain this information and verify their correctness can be relatively large even for simple problems. Nowadays, optimization problem-solving environments provide modeling language and state-of-the-art optimization solvers together with packages that are capable to compute first-order information, e.g., derivatives, gradients. However, AD remains largely unexploited for generating these quantities; requiring consequently to run the entire framework and its packages altogether to solve nonlinear optimization problems. Moreover, for constrained neural networks training, it would be beneficial to solve the corresponding optimization problems by means of unified AD tools.

In this context, the main goal is to combine AD tools that automatically generate the required first- and second-order quantities together with nonlinear optimization methods such as ALM for solving constrained problems (including inequality constraints).

Objective: investigate automatic differentiation tools for nonconvex optimization solvers that can rapidly converge with few function and derivative evaluations as well as provide and improve second-order information with the same efficiency and reliability as available for first-order information.

Task(s): formulate, develop and numerically evaluate enhancements/extensions of computational methods/algorithms including ALM for solving constrained nonconvex optimization problems. To address the computational performance objectives, the candidate will also actively participate to the design (extension) and evaluation of (existing) automatic differentiation tools for solving such optimization problems. Integration of these tools into a unified AD framework will be realized in cooperation with computational/numerical method experts. These tasks will be realized under the supervision of a senior (postdoc-level) researcher.

Duration: 2 years

Candidate profile:

MSc in applied mathematics, mathematical engineering, theoretical computer science, or computer science engineering.
Strong nonlinear modeling and mathematical programming skills.
Very good knowledge of techniques such as first-/second-order iterative methods, inexact methods and Krylov subspace methods ((B)CG, Lanczos, GMRES, MINRES, Arnoldi, etc.) for nonconvex optimization problems.
Experience in programming with nonlinear optimization libraries, e.g., LANCELOT/CUTE, MINOS, TRON, NLopt, etc.
Excellent written, verbal and interpersonal communication skills.
Knowledge of functional programming language (LISP, Julia, etc.) is considered as a plus.

Application requirements

Certified copy of the MSc diploma/certificate shall be included in annex of the CV.
The CV shall indicate the detailed coordinates of the current or eventually the last academic institution and department of the candidate.
The CV shall include a detailed list of publications/achievements in relation to the job description.
Note well: the candidate must have obtained his/her MSc degree from an academic institution of one of the EU countries.

Starting date: Jan.1st, 2021 (earliest) – Mar.31st, 2021 (latest).

Back

Apply

Back

Predictive Network Modeling Research Internship

Huawei Leuven Research Center

Leuven, Belgium

Student

Rough network data being typically unlabeled limits application of neural networks to unsupervised learning tasks (learning from unlabeled data). Tools for automated network data labeling becomes thus a first-level priority to enable supervised learning tasks (learning from hypothesis/candidate models) by means of neural networks. These neural networks are primarily those involved in nonlinear function approximation underlying automated pattern detection/extraction and recognition/identification such as multi-dimensional interaction modeling and their synthetic representation. In the context of communication networks, for instance, labeled datasets can be used for training neural models to augment -or even replace- current local routing and forwarding process.

On the other hand, a label can be considered as encoding the value of the objective function underlying the machine learning task or the parameter of a model (structured learning). Hence, automated labeling implies that either this objective or the model are formally known. This operation can be realized either in batch or online mode. The former typically assumes that the main performance criteria relates to the size of the input (assumed to be complete) that needs to be processed to reach a given accuracy level. The latter implies time-constrained processing of incoming input following different arrival processes; thus, the number of cycles/inter-arrival times required to reach a given accuracy level.

Objective: automatic labeling method of network data, including spatio-temporal data (traffic, etc.), structural data (topological, etc.)

Task: blends modeling, algorithmic and experimental research; the candidate will have the opportunity to explore, evaluate and compare different labeling algorithms by formal and numerical methods. These tasks will be realized under supervision of senior (postdoc-level) researcher.

Duration: from 6 months to 1 year (max.)

Candidate profile:

if MSc thesis: the candidate must be following the last year of the curriculum in, e.g., Applied mathematics, Math engineering, Theoretical computer science, Computer science engineering. Detailed coordinates of MSc promotor and his/her academic affiliation must be provided in the CV application form.
if internship: the candidate must have completed his MSc (in one of these disciplines). Copy of the MSc diploma/certificate shall be included in annex of the CV. The internship can also be considered as part of post-MSc graduation or PhD graduation program.
Good knowledge of traffic/network simulation is considered as a plus.

Note well: candidate must have obtained their University degree from an academic institution of one of the EU country.

Starting date: Oct.1st, 2020.

Back

Apply

Back

Research Manager

Huawei Leuven Research Center

Leuven, Belgium

Employee

Huawei’s vision is to enrich people's lives through communication. By leveraging our experience and expertise in the telecom sector, we help bridge the digital divide and give people the opportunity to join the information age, regardless of their geographic location.

Huawei’s European Research Institute (ERI), headquartered in Leuven, comprises 18 sites in 12 countries where Huawei is performing advanced technical research in different fields in order to realize the vision of a world-leading research center for innovative technologies and platforms enabling the development of world-class products and solutions.

Based in Leuven, Belgium, the head-quarter of the European Research Institute we are looking for a: Cooperative Manager / Innovation Mgr / Research Manager.

Your Responsibilities will be:

- analyze latest research developments and trends in Europe

- analyze their fit to the needs and strategy of Huawei

- propose technology roadmaps for the European Research Institute

- plan for the annual cooperation and technology strategy of the European Research Institute

- propose and plan participation in publicly funded projects

- follow European research activities in some or all of the following domains :

Wireless communication
Internet of Things
Software Defined Networks and Network Function Virtualization
Cloud and Big Data
Machine learning
IT-architecture
Optical communication
Next generation smart phones and wearables
Semiconductors
MEMS and sensors

We are looking for an expert (m/f) who has significant experience in the field of cooperation management in the industry.

Requirements & Qualifications (domain specific, partial qualifications taken into account)

M.Sc. or higher degree in computer science, electrical engineering, informatics or in another domain-related technical discipline
Experience in industry research
Fluent in English (written and spoken), French or/and German and/or Chinese would be a plus
Experience in publicly funded projects e.g. FP7, H2020
The proven ability to build relationships with universities and research institutions
A deep understanding of the academic, commercial, and partnership research landscape
Minimum of 5 years working experience specifically in cooperation strategy development
Technology planning and strategy development in a high-tech environment.
Research experience either in or related to one of the above mentioned technologies
Broad horizon about the required technologies
European wide travels are required
Excellent intercultural communication and coordination skills
Excellent interpersonal skills, team-work spirit and independent working capability
Experience with Asian business culture is a plus
Hands-on and can-do attitude
Willing to travel +/- 50%

Back

Apply

Back

Search Product Marketing Manager

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

Job Description:

Now we are looking for marketing managers to enhance and support our search engine product.

About The Job

As a marketing manager of Search Engine Product, you will be involved the whole marketing strategy from planning to execution, which working with a cross-function team including R&D, operation, legal, PR and more, to help shape the voice and image of product.

The department provides a comprehensive knowledge training program for marketing managers to help quickly integrate into the global business environment. Based on the premise of continuous improvement of business capabilities, the company provides a rich international promotion channels.

Responsibilities:

Base on the market insights, formulate marketing strategies and take charge of marketing planning and execution of the product's entire life cycle. Through competing product analysis, selling point mining, marketing story design, multi-wave campaign planning and execution, planning and execution and other key activities, it continues to attract users' attention and follow up changes in user needed.
Create marketing materials such as main slide/white paper book.
Responsible for the planning and generation of published content, "story plan", core KM extraction and in-depth development, also responsible for related interpretation and access to related content channels.

Business skill requirements:

Marketing insight and analysis capability
Strong Activity planning capability
Strong Project management capability.
Paper working on marketing materials.
Excellent organization, coordination, and teamwork capabilities, and strong sense of responsibility.
Strong communication skills.
English will be the preferred language for work.

Professional knowledge requirements

Well knowledge about marketing methodologies and marketing processes, deep understanding and knowing key marketing operations of Internet products.
Excellent experiences on advertising, news, or marketing areas.

Back

Apply

Back

Search Product Operations Manager (User Growth)

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

Job Description:

We are looking for Operation Managers (User Growth) to enhance and support our search engine product, who will be working with a cross-function team including R&D, marketing, legal, PR and more, to growth our product users amount.

The department provides a comprehensive knowledge training program for operating managers to help quickly integrate into the global business environment. Based on the premise of continuous improvement of business capabilities, the company provides a rich international promotion channels.

Responsibilities:

Take charge of the local operation effect of search products and regional service KPIs such as the user growth, retention, activation and conversion.
Develop the local operation indicator system, monitor the local operation indicators of search products, analyse users' use of search products, and identify experience problems, manage the closure of bad cases and bad cases, and propose optimization solutions.
Plans and executes search engine activities and promotes the local promotion of search products.
Be responsible for the local implementation of product features, including friendly testing, A/B testing, preliminary effect evaluation and launch strategy.

Business skill requirements:

Excellent organization, coordination, and teamwork capabilities, strong sense of responsibility
Strong communication skills.

Professional knowledge requirements

Bachelor degree or above, able to cope with global business trips.
Excellent data analysis capabilities, able to have a keen insight into search user requirements, controls operation policies.
Internet product operation experience is preferred.

Back

Apply

Back

Senior Analog IC Layout Engineer

Huawei Leuven Research Center

Leuven, Belgium

Employee

Huawei is a leading telecom solutions provider. Through continuous customer-centric innovation, Huawei has established end-to-end advantages in Telecom Network Infrastructure, Application & Software, Professional Services and Devices. With comprehensive strengths in wireline, wireless and IP technologies, Huawei has gained a leading position in the All-IP convergence age. Its products and solutions have been deployed in over 100 countries and have served 45 of the world's top 50 telecom operators, as well as one third of the world's population.

Huawei Leuven R&D team develops next generation RF transceivers, supporting 4G (LTE) and 5G protocols.

Today, we're seeking team players who get things done and share a passion for bringing new wireless technologies to the rapidly growing mobile market. Now is your chance to join the engineering team and develop new, world-leading products.

Assignment Description

We are offering a senior layout engineer position enabling you to join the creation of the next generation mobile phone chips.

The Senior Analog IC Layout Engineer will be part of an experienced layout team. In close cooperation with his colleagues he will be in charge of the layout of high speed analog and RF circuits and he will take up a leading role in the floorplanning and optimization of the system on chip.

He is an expert user of Cadence and Mentor tool suites on nanometer RF CMOS and/or RF SOI technology.

The successful candidate will work closely with the RF designers. He/she will take into account the constraints from the designer and will go through iterations with the designer to further optimize the layout from a performance and area perspective.

RF circuit layout experience in the sub 10-Ghz range is mandatory.

The layout engineer should have a good understanding of the different circuit topologies and their constraints for the layout. implementation. Good understanding of the layout rules enables to optimize the implementation.

The senior layout engineer is also capable to perform extraction of parasitic and make the interpretation of these results in view of further optimization.

Required Education and Experience:

Industry Degree qualified (BS or MS EE degree)
Ample experience with the Cadence OA VirtuosoXL
Experience with RFIC layout (GHz range) in CMOS technology
Finfet experience is a major plus.
Automation for layout is a plus.
Good communication skills & team-player.
Process oriented, ability to structure the RF layout process
Continuous strive for improvement in circuits and process.
Detail oriented and determined
Relocation to Belgium, if applicable, is strongly recommended.

Back

Apply

Back

Senior Antenna Design Engineer

Huawei Leuven Research Center

Leuven, Belgium

Employee

We are looking for a Senior Antenna Design Engineer (AIP, AOB) for our R&D activities in Leuven.

Your responsibilities:

Design microwave and mm-wave antennas for radar and communication applications, in collaboration with RF/analog/system experts.
Write design specifications, choose antenna topologies, select suitable PCB and/or package materials and technology.
Design microwave and mm-wave interconnects.
Run EM simulations for design and validation of antenna systems.

Requirements:

Master or PhD in electronics, specialized in electromagnetics, antennas, mm-wave designs.
At least 5 years experience in the design of microwave or mm-wave antennas.
Experience in design of phased array antennas.
Solid theoretical background in EM theory, antennas, transmission lines, matching techniques and antenna beamforming.
Hands-on experience in antenna integration in PCB and IC package.
Expert in EM simulations (e.g. Ansys HFSS), experience with PCB layout tools.
Familiar with lab equipment (e.g. network and spectrum analyzers), antenna measurement techniques, probestation.

Profile:

Eager to learn, stay on top of state of the art.
Work in international environment,
Etc…

Back

Apply

Back

Senior Data Scientist, Engineering - Routing

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

We are looking for a Research Engineer - Routing to join our Map team in Amsterdam.

Fail fast is the motto that Huawei staff around the world has lived by for decades. In Amsterdam we are working on one of the most ambitious projects in the history of Huawei. We are building an ecosystem of map products on par with our competitors, and we are building with unprecedented speed to create the features that will be shipped in the next-gen releases of our products used by hundreds of millions.

Joining our team means joining an epic endeavour. Calling our environment dynamic, is an understatement. Our challenge requires all members to work together and to be pro-active, to take initiative and to show leadership. If you want to lead the way we offer you plenty of room and support. We highly value team work, which shows in the way we organise projects and research. Of course we have regular code reviews, we adhere to style guides and we make use of unit tests, integration tests and CI/CD, in order to guarantee the sustainability of our R&D projects. Every week we host reading groups, lectures and discussions in the areas of mapping, computer vision, and NLP. And we are an international team, hoping to onboard the 15th nationality by the end of the year.

The mission of the routing team is to drive innovation in the area of route planning, associated products such as ETAs and any downstream/upstream dependencies affecting the end-user’s perception of route quality. Our team operates in the intersection of algorithm design, system design, data engineering, sensor fusion, statistical modeling and machine learning, chiefly focusing on researching novel approaches leading to faster, more accurate and more flexible route planning, as well as achieving travel time accuracy to the minute, for any user in any context.

As member of the team you will contribute to our to our innovation portfolio with your ideas, code and models. You are not only expected to prototype and demonstrate cutting edge approaches, but also to participate in research projects that lead to papers and patents. If you have an exotic idea around route planning, upstream dependencies (e.g. traffic models) or downstream last-mile routing applications (e.g. parking prediction), we not only want to hear about it, we want to see it in action!

Requirements

Bachelors or Master’s degree in quantitative field such as Computer Science, Physics or Statistics from a top university
5+ years’ experience developing applied research projects end-to-end, from experimental design to product, preferably in the area of routing algorithms, route choice modelling, ETAs, positioning data or traffic assignment
Expert knowledge on at least one of Python or Julia
Good command of scientific computing tool kits such as pandas, dask, scikit-learn, pycaret, keras, tensorflow, jupyter-lab, etc.
Experience with building ETL pipelines leveraging latest technologies and techniques (e.g. apache airflow, kafka, spark, etc.)
Solid understanding on statistical principles and/or machine learning models
Demonstrated leadership and independence when idealising, conducting and promoting research projects
Strong communication and presentation skills

We highly value PhD’s in the area of graph search / machine learning, in which case 2+ years of experience is sufficient.

Furthermore we expect you to tick at least two of the following boxes:

Experience with large scale routing or graph algorithms in production
Experience using cloud services (e.g. AWS, Google Cloud, Azure)
Domain expertise in the area of location based services (e.g. mapping, localisation, routing, traffic)
Experience with devops (Docker, k8s, vagrant, AWS, google cloud)
Adherence with sustainable coding and craftsmanship principles

Back

Apply

Back

Senior Digital IC Design & Verification Engineer

Huawei Leuven Research Center

Leuven, Belgium

Employee

Huawei is a leading telecom solutions provider. Through continuous customer-centric innovation, Huawei has established end-to-end advantages in Telecom Network Infrastructure, Application & Software, Professional Services and Devices. With comprehensive strengths in wireline, wireless and IP technologies, Huawei has gained a leading position in the All-IP convergence age. Its products and solutions have been deployed in over 100 countries and have served 45 of the world's top 50 telecom operators, as well as one third of the world's population.

Our Huawei R&D teams develop next generation RF transceivers, supporting 4G (LTE) and 5G systems.

Today, we're seeking team players and technical leaders who get things done and share a passion for bringing new wireless technologies to the rapidly growing mobile market. Now is your chance to join the engineering team and develop new, world-leading products.

Assignment Description

We are offering a long term SENIOR DIGITAL IC DESIGN & VERIFICATION ENGINEER position enabling you to join the creation of the next generation RF chips.

The Senior Digital Design & Verification Engineer has the following responsibilities:

Integrate legacy control and data path designs in new products
Update and verify legacy designs to fit new product requirements
Design and verify new ultra-high speed DSP blocks for next gen products
Interface with the physical implementation team for further design and flow improvements

This role includes technical leadership, meaning technical hands-on expertise and excellent team skills; this candidate targets high and challenging standards on technical performance, product and process quality and project schedule.

Required Education and Experience:

MSEE or equivalent with min 3 to 5y industrial experience
Solid grasp of simulation concepts such as regression testing, UVM, functional coverage, assertions, …
Good knowledge of Verilog and SystemVerilog for design and verification
Experience with RTL lint
Knowledgeable about DFT and ATPG
Knowledgeable about CDC issues and techniques for low power design
Experience with delay annotated gatelevel simulation
Experience with implementation of high-speed pipelined FIR DSP structures is a plus
Formal Verification experience is a plus
- Formal lint
- Sequential Equivalence Checking
- Assertion Based Verification
Experience with C/C++/SystemC models for RTL verification a must
Python and TCL programming experience a strong plus
Able to efficiently work in a Linux command line environment as well as in Windows MS Office for reporting and documentation
Excellent analytical skills
Good communication skills
Team-player
Result driven
Continuous strive for improvement in circuits and process
Detail oriented and determined
Willing to relocate to Leuven (Belgium) region

Back

Apply

Back

Senior DSP Engineer

Huawei Leuven Research Center

Leuven, Belgium

Employee

We are offering a long term SENIOR DSP ENGINEER position enabling you to join the creation of the next generation mobile phone chips.

The Senior DSP Engineer is responsible for the definition of the ultra-high speed datapath for next generation wideband wireless standards. This involves the uses and analysis of integer upsampling as well as fractional upsampling over a wide range of input and output bandwidths. It also involves the use of compensation and calibration techniques to digitally pre-distort the signals to achieve improved transmission characteristics.

During the implementation phase, the DSP engineer might be requested to consider alternative solutions that can be implemented at higher speeds and/or lower power.

During the chip bring up and characterization phase, the DSP engineer is involved in the creation of example drivers to properly configure the datapath as well as analyzing measurement results.

After the measurement campaign, the DSP engineer can be asked to modify the datapath and/or compensation blocks for the next generation chip or chip evolution.

The ideal candidate is both very analytical, pragmatic and critical. He/she should be able to focus on details, but at the same time not forget about the bigger picture. Compromises are a part of daily life, specs and targets evolve.

The candidate can expect critical reviews and lively discussions in a team that consist of seniors with very diverse professional backgrounds but with strong analytical powers. Results as a team count; ego should not get in the way.

Clear and concise communication on status and progress is a strong plus. The Senior DSP Engineer can present the issues he/she encountered, potential solutions and workarounds as well as decide on a way forward.

Required Education and Experience:

Master in Electronics (MSEE) with strong focus on Digital Signal Processing and acquainted with the specific issues involving Fixed point architectures
- Finite word-length effects, quantization, rounding
- FIR, IIR, half band filters, CIC, linear interpolator, Farrow filter
- Noise floor, spurs, EVM
- Proper use of Fourier transforms and windowing functions
- Pipelined vs parallel
DSP modeling and analysis
- Experience with (scientific) Python is a plus
- Experience with (basic) C/C++ is a plus
- Experience with fixed-point SystemC / Matlab is a plus
- Experience with numerical modelling of analog blocks is a plus
- Knowledgeable about OOP and good programming practices
Regression and status tracking
- Experience with the proper use of compute clusters (LSF) is a plus
- Comfortable working in a command line Linux environment
- Automating reporting and simulation results filtering
- Breadth-first vs depth-first parameter sweeps
Experience with digital and analog implementation flows for ASIC is a plus
Good presentation and reporting skills using MS Office
Fluent in English
Team-player
Result driven
Continuous strive for improvement in architectures and process
Willing to relocate to Leuven (Belgium) region

Location : Leuven (BE), 100 % on site

Back

Apply

Back

Senior Knowledge Graph Engineer

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Freelance

We are looking for Go engineers passionate about data unification, graph databases and knowledge graphs.

The Search Team in Huawei’s Amsterdam R&D Center is building an industry-leading Cloud Search product that powers the search experience with Huawei Mobile Service (HMS). You will work within a fast-paced international team of expert scientists and engineers, and you will have the opportunity to learn, experiment and build a state of the art, highly performant and infinitely scalable knowledge graph engine that will power the search experience of millions of users. You will be the technical leader delivering the centerpiece of a huge scale system that allows data residing in isolated silos to be ingested, unified, processed, analyzed and served. Services across the organization will directly benefit from your input: E-commerce, Q&A systems, Machine Translation, User Recommendations, NER, NLU and various Classification tasks.

Responsibilities

Design, develop, test and deploy solutions able to handle terabytes of graph data.
Conceive, design and implement REST and GraphQL APIs.
Continuously research, assess and recommend new technologies, methods and processes.
Build prototypes and convince business units of the benefits of all new technologies
Provide hands-on technical and thought leadership across development, product management, operations, and engineering management
Pave the way for innovative research projects in the fields of entity disambiguation, graph reconciliation, context extractions etc.
Help build a positive, energetic and most importantly cool team culture.

Requirements

Practical experience with Go
Practical experience with any of the following technologies would be considered a big plus: Graph databases, Knowledge graphs, Ontology management, Docker, Kubernetes, Istio, gRPC, Protobuffers, Redis, RocksDB, Python, Tensorflow, PyTorch
Hands on experience and a strong track record of engineering excellence including continuous delivery of high quality, massively scaled, innovative software.
Expertise in Test-Driven Development and establishing a DevOps practice is a plus
An active developer’s profile on Github, Gitlab, StackOverflow etc.
Work well independently and in multi-group cross-discipline environment.
A strong technical foundation and strong communication on ideas, reasoning, benefits, costs, and risks to multiple audiences.
Excellent communication and collaboration skills in English.

Back

Apply

Back

Senior Map Search NLP Research Engineer

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

We are looking for a Senior Research Engineer NLP Map Search to join our Map team in Amsterdam.

Fail fast is a motto that Huawei staff around the world has lived by for decades. In Amsterdam we are working on one of the most ambitious projects in the history of Huawei. We are building an ecosystem of map products on par with well-known competitors, and we are building with unprecedented speed. The Amsterdam team contributes with innovations. We invent and create prototypes of features that will shipped in the next release of our map app, map sdk, and map partner platforms. We follow the state of the art and we strive to surpass it.

Joining our team is the start of an intense journey. To say that our environment is dynamic, is an understatement. Our challenge requires all members to work together and to be pro-active. We are encouraging initiative and leadership. If you want to lead the way we offer you plenty of room. We highly value team work, which shows in the way we organise projects and research. We have regular code reviews, we adhere to style guides and we make use of unit tests, integration tests and CI/CD. Every week we host reading groups, lectures and discussions in the areas of mapping, computer vision, and NLP. Further it is possible to visit scientific conferences. We are an international team, hoping to onboard the 15th nationality by the end of the year.

The mission of the map search team is to draw upon the latest developments from NLP, to create a search experience that is continuously improving. We create POC’s for features that go into the next release. Our team is just starting. One of our goals is to conduct research in NLP and search. Topics that we work on are language translation, query expansion and search personalization. A large team of NLP specialists is located a few desks away, making it easy to collaborate with specialists in the field.

As member of the team you will follow the literature on NLP, contribute to POC’s, take part in research projects, and drive new initiatives in the area. Part of the research projects are expected to materialize into papers and patents.

Requirements

Master’s or PhD degree in computer science, mathematics, statistics, physics, or a related field
5 years’ working experience in the area of NLP, search, and information retrieval. In case of a PhD 2 years.
Strong Python skills
Solid understanding of language models and deep learning architectures for NLP for various tasks (translation, text classification, query expansion)
Proficient with PyTorch or TensorFlow
Strong with NLP libraries like spaCy, NLTK, pyglot, Gensim

Back

Apply

Back

Senior Product Manager Searching Tools

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

Responsibilities

Build a long term product vision and value proposition based on customer needs, competitive analysis and overall Huawei CloudService strategy. Product differentiation is key.
Define product roadmap and set engineering priorities. Work closely with Huawei mobile phone and cloud service teams to collect market feedback and re-align roadmaps.
Create detailed functional and non-functional requirements and work closely with R&D to guide the product development phase on all dimensions including content, timing, quality etc.
Evangelize product vision and value propositions to customers, partners and internal stakeholders.
Responsible for GTM readiness, sales enablement and business development support.
Support business operations and monetization teams in defining and implementing an appropriate licensing and commercial model.

Qualifications

Prior experience as a Product Manager defining and managing product roadmaps, business case analysis, customer presentations etc.
A deep sense of search market, product and ecology.
Expert level knowledge either in the NLP, Knowledge Graph, Bigdata platform, Information Retrieval, etc.
Data driven approach to problem solving and pay attention to detail without losing sight of the big-picture.
Strong communication and influencing skills – both for internal and external stakeholders.
Independent thinker and self-starter that operates with a sense of urgency and is able to research and present findings with minimal direction.
A pragmatic approach and the ability to thrive under pressure of constant change and moving objectives. Ability to work in a changing, dynamic environment.
Good understanding of the software development life cycle and product life cycle.
Knowledge of data analytics, statistics, machine learning and willingness to build advanced skills in this area.
Product manager experience in search related companies like Google Search, Microsoft Bing, TomTom, Hear, Yandex, etc. is a plus.

Back

Apply

Back

Senior Research Engineer - Positioning

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

We are looking for a Research Engineer Positioning to join our Map team in Amsterdam.

Fail fast is a motto that Huawei staff around the world has lived by for decades. In Amsterdam we are working on one of the most ambitious projects in the history of Huawei. We are building an ecosystem of map products on par with well-known competitors, and we are building with unprecedented speed. The Amsterdam team contributes with innovations. We invent and create prototypes of features that will shipped in the next release of our map app, map sdk, and map partner platforms. We follow the state of the art and we strive to surpass it.

Joining our team is the start of an intense journey. To say that our environment is dynamic, is an understatement. Our challenge requires all members to work together and to be pro-active. We are encouraging initiative and leadership. If you want to lead the way we offer you plenty of room. We highly value team work, which shows in the way we organise projects and research. We have regular code reviews, we adhere to style guides and we make use of unit tests, integration tests and CI/CD. Every week we host reading groups, lectures and discussions in the areas of mapping, computer vision, and NLP. Further it is possible to visit scientific conferences. We are an international team, hoping to onboard the 15th nationality by the end of the year.

Our team in Amsterdam creates solutions that deliver excellent positioning under all circumstances. We make use of the latest advances in positioning to boost the performance of our android-based positioning system. This includes creating POC’s, keeping track of the literature and taking initiatives regarding new projects in this field. Further we expect you to contribute to research that will be published or that leads towards patents.

Requirements

- PhD or Masters degree in engineering, mathematics, computer science or related field
- 3+ years working experience in signal processing and information filtering
- Proficient with state estimation, Bayesian filtering, particle filtering and Bayesian inference
- 1+ years experience with IMU, GPS, and INS
- Proficient in C++, Python or Matlab

Preferred qualifications

- Experience computer vision based navigation, like visual slam, tracking, object detection
- Knowledge of machine learning and deep learning
- Experience with time series processing and signal processing
- Experience with machine learning on sensor data in similar domains (audio, wearables, predictive maintenance)
- Experience with autonomous driving or mapping

Back

Apply

Back

Senior Software Engineer - Map Search

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

We are looking for a Senior Software Engineer – Map search to join our Map team in Amsterdam.

Fail fast is a motto that Huawei staff around the world has lived by for decades. In Amsterdam we are working on one of the most ambitious projects in the history of Huawei. We are building an ecosystem of map products on par with well-known competitors, and we are building with unprecedented speed. The Amsterdam team contributes with innovations. We invent and create prototypes of features that will shipped in the next release of our map app, map sdk, and map partner platforms. We follow the state of the art and we strive to surpass it.

Joining our team is the start of an intense journey. To say that our environment is dynamic, is an understatement. Our challenge requires all members to work together and to be pro-active. We are encouraging initiative and leadership. If you want to lead the way we offer you plenty of room. We highly value team work, which shows in the way we organise projects and research. We have regular code reviews, we adhere to style guides and we make use of unit tests, integration tests and CI/CD. Every week we host reading groups, lectures and discussions in the areas of mapping, computer vision, and NLP. Further it is possible to visit scientific conferences. We are an international team, hoping to onboard the 15th nationality by the end of the year.

The mission of the map search team is to draw upon the latest developments from NLP, to create a search experience that is continuously improving. We create POC’s for features that go into the next release. Our team is just starting. One of our goals is to conduct research in NLP and search. Topics that we work on are language translation, query expansion and search personalization. A large team of NLP specialists is located a few desks away, making it easy to collaborate with specialists in the field.

As member of the team you will follow the literature on NLP, contribute to POC’s, take part in research projects, and drive new initiatives in the area. Part of the research projects are expected to materialise into papers and patents.

Requirements

Bachelors or Master’s degree in Computer Science or related field
5+ years’ experience developing production systems
Be proficient in Python, Java, or C++
Experience with quick prototyping
Experience in at least one of the areas: information retrieving, natural language processing, data mining, full text search, ranking
Solid understanding of common machine learning algorithms

Preferred qualifications:

- Experience in geocoding services.
- Experience in designing and building large-scale distributed systems
- Dev-ops experience

Back

Apply

Back

Senior Software Engineer ASR/TTS

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

(Senior) Software Engineer for Automatic Speech Recognition (ASR) and Text to Speech (TTS)

The Speech Team at Huawei Amsterdam Research Center is responsible for R&D of both ASR and TTS for most major languages around the globe. We do innovations on the cutting-edge deep learning techniques and deliver real-world speech products to the end user via various Huawei or 3rd-party smart devices, including mobile phones, watches, ear pods, TVs and etc. We are looking for an experienced Python & C++ programmer to join us developing the first-class ML-oriented software. The international, fast-paced, expert team are looking forward to seeing your application!

Responsibilities:
- Work closely with ASR & TTS researchers locally and globally.
- Develope and optimize inhouse ML training and testing tools (Python & Bash & C++)
- Develope and optimie online engine in production.
- Maintain the unit-test pipeline

Requirement:
- Bachelor or Master degree in Computer Science.
- At least 3 years hands-on experiences of software projects in Python. (5 for a senior position)
- Rich experience of popular AI libraries such as Pytorch and Tensorflow.
- Solid understanding of Machine Learning/Deep Learning algorithms and applications.
- Well-maintained github repository.
- Experience of C/C++ is a plus.
- Proficient English writing and speaking skills.

Back

Apply

Back

Senior Speech Recognition Engineer

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

We are looking for 3 Superstars who have expertise in Speech Recognition/Text-To-Speech for our Search Engine team in Amsterdam

The Search Team in Huawei’s Amsterdam R&D Center is building an industry-leading Cloud Search product that powers the search experience with Huawei Mobile Service (HMS). You will work within a fast-paced international team of expert scientists and engineers, and be responsible for state-of-the-art ASR and TTS R&D to enable natural speech interface between human and machine.

Responsibilities

Design, develop, test and deploy multi-lingual cloud and embedded ASR/TTS systems.
Process and manage big data.
Deliver accurate and fast speech products for over 40 languages around the globe.
Apply error analysis of deployment or/and recognition issues.
Participate innovative research projects which may lead to scientific publications and patents, such as end2end systems, RNN-transducer, Tacotron TTS and etc.
Collaborate closely with speech teams in China and Finland.
Help build a positive, energetic and most importantly COOL team culture.

Requirements

Master’s in Computer Science, Applied Mathematics, Physics or Statistics. PhD is a plus.
Strong background in deep learning, ASR and TTS.
At least 3 years of industrial hands-on experience of implementing and deploying large scale machine learning systems.
Strong analytic skills related to working with ASR&TTS systems.
Strong proficiency in Python and C++ and experience with at least one deep learning framework like PyTorch and Tensorflow.
Excellent communication and collaboration skills in English.
Proficiency in 1 or 2 languages besides English is a plus.

Back

Apply

Back

Spontaneous Application

Huawei Leuven Research Center

Leuven, Belgium

Employee

Spontaneous Application

Back

Apply

Back

Video Semantic Retrieval Researcher

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

We are looking for a talented Video Semantic Retrieval Researcher who is excited to join our Search Engine team in Amsterdam

Do you love working on images, videos and a whole family of multimedia? Are you passionate about developing cutting-edge Machine Learning techniques? Do you have vision and talent to develop the next generation of search engine for innovative human-machine interaction? Then we have an element opportunity for you to make your dream come true!

The Search Team in Huawei’s Amsterdam R&D Center is building an industry-leading Cloud Search product that powers the search experience on the whole chain of Huawei devices. You will work within an international and fast-paced team of expert scientists and engineers, and be responsible for establishing state-of-the-art multimedia search engine to connect to the real-world in the most natural way.

Responsibilities

Design and develop computer vision related algorithms, based on deep learning/neural networks techniques.
Provide strong leadership in defining and articulating innovative and practical technical solutions that address various business needs for the video search channel of Huawei search engine (petal search)

Requirements

PhD in Computer Science/Engineering specializing in Computer Vision, Machine Learning, or similar fields.
Hands on experience in designing offline/real-time video processing/computer vision algorithms and applications, e.g., object detection, segmentation, tracking, recognition, classification, tagging, summarization, embedding, and retrieval.
Researching latest Academic papers and cutting-edge industrial approaches, working on break-through researching as well as applied algorithms.
Demonstrated projects with deep learning framework such as CNN, RNN/LSTM using Tensorflow, Pytorch etc.
Skilled in OpenCV and video/image processing open source libraries.
Skilled in C/C++ and Python.
Ability to scope and schedule deliverables independently, and be accountable for executing, performing and delivery.
Energetic, self-motivated and execution oriented individuals, passionate in building best in class products.

Back

Apply

Caring for Employees

CURRENT OPEN JOBS

Spontaneous applications

ALWAYS INCORPORATING NEWEST TECHNOLOGIES IN OUR PRODUCTS

ABOUT HUAWEI

Cookies Settings

3D IC Integrated Expert

Assignment Description We are offering a long term 3D IC Integrated senior expert position.

3GPP Standardization Specialist

5* Talent Software-Defined Vehicle PhD Eng.

5* Top Talent

Advanced Package SI/PI Expert

Advanced Semiconductor Memory Senior Engineer

Algorithm Engineer - Map Search Ranking

Applied Mathematics Research Scientist

Cooperation Management Expert

Deep learning Research Engineer

Filter Package Expert

HMI Senior Researcher

Huawei PhD Student Contest 2021

Internship in Accelerated Training with Fast Converging Solvers

Internship in Nonconvex optimization

Internship in Nonlinear System Identification

Lead Data Scientist - Search Engine

Logic Devices R&D Engineer

Machine Learning (Data) Scientist - Language Understanding

Machine Learning Engineer - Language Understanding

Machine Translation Scientist

MEMS Expert (Principal Engineer Level)

Numerical Optimization Research Scientist

Predictive Network Modeling Research Internship

Research Manager

Search Product Marketing Manager

Search Product Operations Manager (User Growth)

Senior Analog IC Layout Engineer

Assignment Description

Required Education and Experience:

Senior Antenna Design Engineer

Senior Data Scientist, Engineering - Routing

Senior Digital IC Design & Verification Engineer

Senior DSP Engineer

Required Education and Experience:

Senior Knowledge Graph Engineer

Senior Map Search NLP Research Engineer

Senior Product Manager Searching Tools

Senior Research Engineer - Positioning

Senior Software Engineer - Map Search

Senior Software Engineer ASR/TTS

Senior Speech Recognition Engineer

Spontaneous Application

Video Semantic Retrieval Researcher

**5* Talent Software-Defined Vehicle PhD Eng.**

**5* Top Talent**